Anscombe’s Quartet

https://www.autodeskresearch.com/publications/samestats

Day 1

• tydyverse, ggplot2 basics
• more advanced ggplot2, customization
• specific types of useful plots
• interactive dataviz

Day 2

• one nasty dataviz mistake
• maps in R
• dataviz challenge

https://jschoeley.shinyapps.io/hmdexp

http://bancdadesced.uab.es/population_change/

http://www.global-migration.info

https://ikashnitsky.github.io/2018/the-lancet-paper/

Austria vs Germany ⚽️ The First 111 Years #AUTGER international #football results since 1907:
🇦🇹 10 wins
🇩🇪 25 wins
✖️ 6 draws#dataviz by @tinafrank & @metropop_eu pic.twitter.com/iRjXmpNsOe

— ramon bauer (@metropop_eu) June 3, 2018

Projected number of points in the #PL based on current home/away points-per-game. Quite a title race…. pic.twitter.com/quYiN5VnPW

— Constantinos Chappas (@cchappas) December 23, 2018

Remade the @WSJ measles vaccination visualization using ggplot2 and the animation package #rstats pic.twitter.com/cnIScD9ymI

— Michael Lee 🚴📊🇷 (@mikeleeco) June 19, 2017

Friday and don't know what to do? Train your #ggplot2 skills! 📊
My first blog post “The Evolution of a ggplot (Ep. 1)” is online 🎉https://t.co/fWG4PmyyhU

Thanks to @R4DScommunity @rstudio @dataandme for all the neat #rstats tricks! #tidyverse #DataViz #TidyTuesday #R4DS pic.twitter.com/RRMTSjXFgj

— Cédric Scherer (@CedScherer) May 17, 2019

More

• Election 2016: Exit Polls
  
• A Day in the Life of Americans
• Where People Run in Major Cities
• GGP Harmonized Histories

https://policyviz.com/2018/08/07/dataviz-cheatsheet/

https://ft-interactive.github.io/visual-vocabulary/

https://serialmentor.com/dataviz/

http://socviz.co/index.html

Jonas Shoeley’s slides

https://github.com/jschoeley/idem_viz

The most influential R developer

Hadley Wickham

tidyverse

https://blog.rstudio.org/2016/09/15/tidyverse-1-0-0/

https://www.tidyverse.org/

.@rebeccmart and I are excited to welcome our new #rstats programmer to the family. Thanks to @create_self and @LanderAnalytics for the awesome baby themed hex shirts. #rstatsnyc #nycdatamafia pic.twitter.com/FqzUyDVEDo

— Jared Lander (@jaredlander) May 10, 2019

tidy data

Wickham, H. (2014). Tidy Data. Journal of Statistical Software, 59(10). Retrieved from http://www.jstatsoft.org/v59/i10

Tidy data is a standard way of mapping the meaning of a dataset to its structure.

A dataset is messy or tidy depending on how rows, columns and tables are matched up with observations, variables and types.

In tidy data:

1. Each variable forms a column.
2. Each observation forms a row.
3. Each type of observational unit forms a table.

Stolen from the #rstats meme page. #tidytuesday #statstwitter #DataScience pic.twitter.com/NYEqP3FuYI

— Sarah Van Alsten (@alsten_van) September 17, 2019

Please follow me on the R script "01-tidy.R"

http://qz.com/316906/the-dude-map-how-american-men-refer-to-their-bros

https://www.granvillematheson.com/post/self-portrait/

https://fivethirtyeight.com/features/why-the-oldest-person-in-the-world-keeps-dying/

https://barcanumbers.wordpress.com/2018/12/06/who-are-the-best-finishers-in-contemporary-football/

I’d argue that by rotating the axis we change the story. If the axes were squared we’d just say Lewendowski is taking less shots but of a higher quality than Mbappé, but rotating may show Mbappé is less risk averse and it’s paying off https://t.co/FudNJC43P3

— Peter McKeever Ô_ō (@petermckeever) October 8, 2019

wowowowowowowow @OptaPro @Arsenal. In 18/19, only outshined by Messi in top 5 leagues for attacking contribution after progressive carries. Unbelievable signing. Look at how far he carried the ball before those shots. pic.twitter.com/HAehnA2Rlj

— Peter McKeever Ô_ō (@petermckeever) August 5, 2019

More

• American schools
• Visualizing life tables

• base
• lattice
• ggplot2

“The winner takes it all”

Strength of base plotting system

• Usually, base knows how to plot an object
• Extremely easy to use if you are happy with the default settings
• BUT
• Now ggplot2 has the autoplot function

“gg” means “Grammar of graphics”

http://www.springer.com/us/book/9780387245447

Extremely big and helpful community

• Help
• Examples
• Rapid development
• Extensions

http://www.ggplot2-exts.org/gallery/

Amazing documentation

• Whenever you have a question on ggplot2, the first place to go is
• http://docs.ggplot2.org/current

http://docs.ggplot2.org/current

https://github.com/dreamRs/esquisse

https://pkg.garrickadenbuie.com/gentle-ggplot2/#1

https://emitanaka.org/workshopUTokyo2018/day1-session02-datavis.html#1

Please follow me on “02-ggplot2.R”